166 lines
6.2 KiB
C++
166 lines
6.2 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE
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#define ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "arm_compute/runtime/Tensor.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/IAccessor.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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#include "tests/validation/Helpers.h"
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#include "tests/validation/reference/ReductionOperation.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class ArgMinMaxValidationBaseFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(TensorShape shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
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{
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_target = compute_target(shape, data_type, axis, op, q_info);
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_reference = compute_reference(shape, data_type, axis, op, q_info);
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}
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protected:
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template <typename U>
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void fill(U &&tensor)
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{
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switch(tensor.data_type())
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{
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case DataType::F32:
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case DataType::F16:
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{
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std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
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library->fill(tensor, distribution, 0);
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break;
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}
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case DataType::S32:
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{
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std::uniform_int_distribution<int32_t> distribution(-100, 100);
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library->fill(tensor, distribution, 0);
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break;
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}
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case DataType::QASYMM8:
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{
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std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f);
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std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second);
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library->fill(tensor, distribution, 0);
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break;
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}
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case DataType::QASYMM8_SIGNED:
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{
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std::pair<int, int> bounds = get_quantized_qasymm8_signed_bounds(tensor.quantization_info(), -1.0f, 1.0f);
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std::uniform_int_distribution<int8_t> distribution(bounds.first, bounds.second);
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library->fill(tensor, distribution, 0);
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break;
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}
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default:
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ARM_COMPUTE_ERROR("DataType for Elementwise Negation Not implemented");
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}
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}
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TensorType compute_target(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
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{
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// Create tensors
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TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, q_info);
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TensorType dst;
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// Create and configure function
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FunctionType arg_min_max_layer;
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arg_min_max_layer.configure(&src, axis, &dst, op);
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ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Allocate tensors
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src.allocator()->allocate();
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dst.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Fill tensors
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fill(AccessorType(src));
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// Compute function
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arg_min_max_layer.run();
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return dst;
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}
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SimpleTensor<int32_t> compute_reference(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info)
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{
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// Create reference
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SimpleTensor<T> src{ src_shape, data_type, 1, q_info };
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// Fill reference
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fill(src);
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TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(src_shape, axis, false);
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return reference::reduction_operation<T, int32_t>(src, output_shape, axis, op);
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}
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TensorType _target{};
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SimpleTensor<int32_t> _reference{};
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class ArgMinMaxValidationQuantizedFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo quantization_info)
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{
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ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info);
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}
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class ArgMinMaxValidationFixture : public ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>
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{
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public:
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template <typename...>
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void setup(const TensorShape &shape, DataType data_type, int axis, ReductionOperation op)
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{
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ArgMinMaxValidationBaseFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo());
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}
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_ARG_MIN_MAX_FIXTURE */
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